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The product

One platform to build, train, and deploy spatial agents.

WorldAgents connects an agent to your knowledge, trains it into an expert on your work, validates it in simulation, and deploys it across phones, AI glasses, and the web, all from one place.

Go to dashboard Start a pilot

Build the agent, connect your data, validate in simulation, and deploy to the right device.

Four parts, one workflow

Everything an agent needs to perform in the physical world.

Each part works on its own and links to a deeper feature article. Together they take an agent from creation to a field-ready deployment.

01

Agent creation & design

Build and shape the agent.

Create location-based AI agents in minutes from natural language, your documents, APIs, and company knowledge, then shape behavior, voice, tools, and guardrails until the agent acts like a trained expert.

  • Author agents with a builder that works from plain instructions and source material.
  • Configure behavior, voice, tools, files, and spatial context per agent.
Agent Builder How agents are structured
02

Data ingestion & recognition

Connect your data, recognize the real world.

Securely connect your knowledge base and feed photos, videos, scans, and floor plans, so the agent works from your source of truth and recognizes the actual parts, stations, and steps in real time.

  • Bring SOPs, product data, and documentation in as durable context.
  • Ingest visual references so recognition matches what the worker sees.
Ingestion & recognition Files & shared context
03

Spatial intelligence

Turn places into context the agent can use.

The Spatial Intelligence Engine is the runtime layer that represents places, attaches workflows, and lets you validate agent behavior in simulation before anything reaches a real workflow.

  • Place model, workflow context, simulation loop, and device runtime.
  • Test behavior in generated or captured environments before rollout.
Spatial Intelligence Engine Simulations
04

Device deployment

Deploy across devices, on your terms.

Launch company-owned agents across phones, AI glasses, the web, and future AI devices, with full control over hosting and distribution.

  • One agent logic, many runtimes: phone, glasses, web, and beyond.
  • Keep ownership of hosting, distribution, and data (SOC 2 Type 2).
Device deployment

Start with one place, one workflow, one outcome.

The fastest way to see the platform is a scoped pilot on a real workflow. We help you build the agent, model the environment, validate performance, and deploy.

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